2025 Thales Data Threat Report Reveals Nearly 70% of Organizations Identify AI’s Fast-Moving Ecosystem as Top GenAI-Related Security Risk

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  • 73% are investing in AI-specific security tools with either new or existing budgets.

  • Malware remains top attack type since 2021; phishing rises to second, ransomware drops to third.

  • 60% identified future decryption of today’s data and future encryption compromise as major concerns among quantum computing security threats.

MEUDON, France, May 20, 2025--(BUSINESS WIRE)--Thales today announced the release of the 2025 Thales Data Threat Report, its annual report on the latest data security threats, trends, and emerging topics based on a survey conducted by S&P Global Market Intelligence 451 Research of more than 3,100 IT and security professionals in 20 countries across 15 industries. This year’s report found that nearly 70% of organizations view the rapid pace of AI development1 —particularly in generative AI—as the leading security concern related to its adoption, followed by lack of integrity (64%) and trustworthiness (57%).

The 2025 Thales Data Threat Report results reveal a major focus on the transformative impact of AI, especially GenAI, which relies heavily on high-quality, sensitive data for functions like training, inference, and content generation. As agentic AI emerges, ensuring data quality becomes even more critical for enabling sound decision-making and actions by AI systems. Many organizations are already adopting GenAI, with a third of respondents indicating it is either being integrated or is actively transforming their operations.

Organizations Embrace GenAI, Taking on Greater Security Risks Amid Rapid Adoption

As GenAI introduces complex data security challenges and offers strategic opportunities to strengthen defenses, its growing integration marks a shift among organizations from experimentation to more mature, operational deployment. While most respondents said rapid adoption of GenAI is their top security concern, respondents in the more advanced stages of AI adoption aren’t waiting to fully secure their systems or optimize their tech stacks before forging ahead. Because the drive to achieve rapid transformation often outweighs efforts to strengthen organizational readiness, these organizations may be inadvertently creating their own biggest security vulnerabilities.

"The fast-evolving GenAI landscape is pressuring enterprises to move quickly, sometimes at the cost of caution, as they race to stay ahead of the adoption curve," Eric Hanselman, Chief Analyst at S&P Global Market Intelligence 451 Research, said. "Many enterprises are deploying GenAI faster than they can fully understand their application architectures, compounded by the rapid spread of SaaS tools embedding GenAI capabilities, adding layers of complexity and risk."